Title :
Studies on automatic recognition of preposition BA´s usages based on statistics
Author :
Lingling Mu ; Yiya Pang ; Hongying Zan
Author_Institution :
Sch. of Inf. Eng., Zhengzhou Univ., Zhengzhou, China
fDate :
Oct. 30 2012-Nov. 1 2012
Abstract :
Researching on automatic recognition of preposition´s usages is one of the important contents of the Chinese function words Knowledge Corpus. Aiming at the low recognition probability problem for some high-frequency usages with rule-based method of preposition´ usages recognition, this paper proposed automatically recognizing of preposition´ usages based on statistics. Three statistical models, that is CRF, ME and SVM, were used to label preposition BA´s usages on the tagged corpus of People´s Daily (February, March, April of 2000). The experiment of statistical methods was done for preposition BA. And the final results showed that in general automatic recognition of preposition BA´s usages based on statistics was better than that of rule-based method of preposition BA´s usages recognition.
Keywords :
knowledge based systems; maximum entropy methods; natural language processing; probability; random processes; statistical analysis; statistics; support vector machines; text analysis; word processing; CRF; Chinese function word knowledge corpus; SVM; automatic preposition BA usage recognition; conditional random field; high-frequency usages; low recognition probability problem; maximum entropy; rule-based preposition usage recognition method; statistical methods; statistical models; support vector machine; Accuracy; Barium; Context; Dictionaries; Speech; Support vector machines; Testing; automatic recognition; chinese function work; conditional random fields; maximum entropy; usage description;
Conference_Titel :
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-1855-6
DOI :
10.1109/CCIS.2012.6664614
